{"repo":"byerlikaya/SmartRAG","free":true,"listed":false,"github":"https://github.com/byerlikaya/SmartRAG","clone":"git clone https://github.com/byerlikaya/SmartRAG.git","description":"Multi-Modal RAG for .NET — query databases, documents, images and audio in natural language. Production-ready with multi-AI support, vector storage, and multi-database coordination.","language":"C#","stars":29,"topics":["csharp","document-processing","dotnet","enterprise-ai","llm","multimodal-ai","rag","semantic-search","vector-database","multi-database"],"license":"MIT","category":"ai-agents","readme_excerpt":"Multi-Modal RAG for .NET — query databases, documents, images & audio in natural language 🚀 Quick Start 1. Install SmartRAG 2. Setup 3. Configure databases in appsettings.json 4. Upload documents & ask questions 5. (Optional) Configure MCP Client & File Watcher Want to test SmartRAG immediately? → Jump to Examples & Testing Dashboard (Web UI) SmartRAG includes a built-in browser-based dashboard for document management and chat (no separate package needed): Then open https://localhost:5000/smartrag to list/upload/delete documents and chat with the active AI model. By default the dashboard is only enabled in Development. For production, protect the path with your own auth or use AuthorizationFilter . See Dashboard documentation for security and options. Dashboard & UI Overview SmartRAG ships with a production-ready web dashboard for managing documents, databases, and AI conversations. The screenshots below show a typical setup in development: Chat & Conversation Database Schema Analysis ------------------- ------------------------ Database Details & Relations Document Management & Settings ---------------------------- ------------------------------ Show full dashboard gallery (all views) Chat & Conversations - - - Database Overview & Health - - Schema & Table Insights - - - - - Documents & File Processing - Settings & Configuration - - 🏆 Why SmartRAG? 🎯 Unified Query Intelligence - Single query searches across databases, documents, images, and audio automatically 🧠 Smart Hy","default_branch":null,"files":null,"tree":[],"storefront":"/r/byerlikaya","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/byerlikaya/SmartRAG/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}